Bayesian CNN-GRU with Attention Mechanism for Lithium-ion Battery State of Health Estimation
Author:
Affiliation:
1. Zhejiang University,State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control,Hangzhou,China
2. Wanxiang A123 Systems Corp.,Hangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587630.pdf?arnumber=10587630
Reference18 articles.
1. An estimation model for state of health of lithium-ion batteries using energy-based features
2. A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements
3. A fast state-of-health estimation method using single linear feature for lithium-ion batteries
4. A review of the state of health for lithium-ion batteries: Research status and suggestions
5. A Novel Model-Based Voltage Construction Method for Robust State-of-Health Estimation of Lithium-Ion Batteries
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